Senior Staff Data Engineer, Data Platform

Warner Bros. Discovery

. Set the architectural direction for CNN’s Data Platform — own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams .

Posted 5/1/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $159,600 - $296,400 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCloudETLGoGoogle Cloud PlatformJavaPythonSparkSQL

About the role

Key responsibilities & impact

Set the architectural direction for CNN’s Data Platform — own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams
Architect and deliver scalable data pipelines for both real-time streaming and batch processing, from event collection through transformation to business-ready datasets
Enable cross-functional teams by defining data platform APIs, data contracts, and self-service capabilities that make it easy for engineers and analysts to build on the platform
Drive data quality and governance standards — establish frameworks for data validation, lineage tracking, and quality monitoring across the platform
Influence technical strategy across multiple engineering teams — contribute significantly to planning, prioritize strategic architecture investments, and drive alignment on platform direction
Mentor and provide growth-centered feedback to engineers up to Staff level through code reviews, design guidance, and architectural pairing
Communicate designs, architectural decisions, and technical tradeoffs clearly to engineers and leaders at all levels — represent the data platform domain with autonomy
Evangelize and oversee implementation of data engineering best practices — your code, documentation, and operational standards are the model others follow

Requirements

What you’ll need

10+ years of software engineering experience with deep expertise in data engineering, data platform architecture, and large-scale data systems
7+ years of experience with cloud technology (AWS, GCP, or Azure), including data-specific services (e.g., EMR, Glue, S3, Athena, Redshift)
Strong expertise in data processing frameworks (Spark, Flink, or equivalent) and orchestration tools (Airflow, Dagster, or equivalent)
Experience with data modeling, ETL architecture, and designing schemas that serve diverse analytical and ML use cases
Strong programming experience across at least two of Java, Go, Python, and SQL
Previous experience working with Snowflake, Databricks, or other modern enterprise data warehouses
Demonstrated experience leading technical direction and setting engineering standards across multiple teams

Benefits

Comp & perks

health insurance coverage
an employee wellness program
life and disability insurance
a retirement savings plan
paid holidays and sick time and vacation

ATS Keywords

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Hard Skills & Tools

data engineeringdata platform architecturedata modelingETL architecturedata processing frameworksprogramming (Java, Go, Python, SQL)data qualitydata governancecloud technologylarge-scale data systems

Soft Skills

mentoringcommunicationinfluencingcollaborationtechnical leadershipfeedbackplanningalignmentautonomyevangelizing best practices